论文标题

风向交叉通风的大涡模拟,部分1:验证和灵敏度研究

Large-eddy simulations of wind-driven cross ventilation, Part1: validation and sensitivity study

论文作者

Hwang, Yunjae, Gorlé, Catherine

论文摘要

由于对可持续和健康的建筑环境的需求不断增长,自然通风越来越受欢迎,但是由于确定自然通风流的操作条件的固有可变性,自然通风建筑物的设计可能具有挑战性。大型模拟(LES)作为自然通风流的分析方法具有重要的潜力,因为它们可以准确地预测计算域中任何位置的湍流。但是,模拟在计算上可能很昂贵,而且很少有验证和灵敏度研究。这项研究的目的是验证风向的交叉通风,并量化溶液对电网分辨率和流入边界条件的敏感性。我们使用三种不同的网格分辨率和两个不同的湍流强度的不同的网格分辨率和两个不同的流入条件来为一个带有两个开口的孤立建筑物执行LES。将通风率的预测与文献可获得的参考风能实验进行了比较,我们还量化了空气和通风效率的年龄。结果表明,需要足够精细的网格分辨率来提供对详细流动模式和空气年龄的准确预测,而流入条件则影响瞬时通风速率的标准偏差。但是,对于本文模拟的交叉通风案例,平均通气流量的预测非常强大,表明对电网分辨率或流入特性的敏感性可忽略不计。

Natural ventilation is gaining popularity in response to an increasing demand for a sustainable and healthy built environment, but the design of a naturally ventilated building can be challenging due to the inherent variability in the operating conditions that determine the natural ventilation flow. Large-eddy simulations (LES) have significant potential as an analysis method for natural ventilation flow, since they can provide an accurate prediction of turbulent flow at any location in the computational domain. However, the simulations can be computationally expensive, and few validation and sensitivity studies have been reported. The objectives of this study are to validate LES of wind-driven cross-ventilation and to quantify the sensitivity of the solution to the grid resolution and the inflow boundary conditions. We perform LES for an isolated building with two openings, using three different grid resolutions and two different inflow conditions with varying turbulence intensities. Predictions of the ventilation rate are compared to a reference wind-tunnel experiment available from literature, and we also quantify the age of air and ventilation efficiency. The results show that a sufficiently fine grid resolution is needed to provide accurate predictions of the detailed flow pattern and the age of air, while the inflow condition is found to affect the standard deviation of the instantaneous ventilation rate. However, for the cross-ventilation case modeled in this paper, the prediction of the mean ventilation flow rate is very robust, showing negligible sensitivity to the grid resolution or the inflow characteristics.

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